Prof. Hans De Sterck
(University of Waterloo, Canada)
Hans De Sterck is a Professor of Computational and Applied Mathematics at the University of Waterloo, Canada. His main area of research is high-performance numerical methods for computational science and data science.
He did his undergraduate and PhD studies at the University of Leuven, Belgium. After postdocs at the von Karman Institute for Fluid Dynamics in Belgium, and at the University of Colorado at Boulder, USA, he joined the University of Waterloo, Canada, as a faculty member in 2004. Between 2015 and 2018, he worked at the School of Mathematical Sciences of Monash University in Melbourne, Australia.
His research focuses on developing fast, accurate and scalable computational methods with applications in science, engineering and technology. This includes multilevel methods for linear systems and Markov chains, high-order accurate methods for nonlinear systems of hyperbolic PDEs, and nonlinearly preconditioned optimization methods for tensor decompositions, with applications ranging from parallel computational fluid dynamics to big data processing and computational social science.
In terms of professional activities, Prof. De Sterck is a section editor of the SIAM Journal on Scientific Computing. He co-chaired the 2015 SIAM conference on Computational Science and Engineering. He is currently serving as the Vice Chair of the SIAM activity group on Data Mining and Analytics (2018-2019), and previously served as Chair of the SIAM activity group on Computational Science and Engineering (2017-2018).